In recent years, weakly supervised object localization techniques have been employed in video understanding [1]}, medical imaging [2]} and remote sensing imagery analysis [3]}. In our work, we apply weakly supervised object localization as prior knowledge to generate task-oriented samples and focus on the discriminative regions, which provides task transferring space in cross-domain few-shot learning.
